Analysis of sleep habits from patients with obstructive sleep apnea associated with insomnia: a sample of the Brazilian population from SAGIC (Sleep Apnea Global Interdisciplinary Consortium) project

• Grant number: 16/18972-7
• Support Opportunities: Scholarships in Brazil - Scientific Initiation
• Start date: December 01, 2016
• End date: November 30, 2017
• Field of knowledge: Health Sciences - Medicine
• Principal Investigator: Lia Rita Azeredo Bittencourt
• Grantee: Jenny Shin
• Host Institution: Escola Paulista de Medicina (EPM). Universidade Federal de São Paulo (UNIFESP). Campus São Paulo. São Paulo , SP, Brazil

Abstract

Introduction: Nowadays, the Sleep Obstructive Apnea (OSA) and Insomnia are described as the most prevalent sleep diseases in our population, being considered as a public health problem with high costs for our society. Therefore, methods of diagnosis to identify risk factors in that population with better cost have been the aim of the scientific community. Objectives: to explore the clinics characters of the sleep habits, symptoms, claims and the polysomnography parameters from the data of Brazilian patients with OSA and Insomnia attended in the Sleep Ambulatory through the questionnaire from Sleep Apnea Global Interdisciplinary Consortium (SAGIC).Methodology: This project is part of a larger project: International Consortium for Genetics of Sleep Apnea (Sleep Apnea International Genetics Consortium - SAGIC) . The sample will be consisted of 400 volunteers. The study inclusion criteria are: both genders, age: above 18 years; presence of polysomnographic diagnosis for OSA: apnea and hypopnea index (AHI) > 5 obstructive events and / or mixed per hour of sleep and claiming about chronic insomnia (for more than 3 months) confirmed by the questionnaire and clinical evaluation. After signed the Informed Consent, the volunteers will be submitted to the following parameters: collect of medical history; Body Mass Index (BMI), waist and hip measurements and neck circumference; blood pressure and heart beats per minute. We will be analyzed the data from the polysomnography and the SAGIC questionnaire. Statistical analysis: Continuous data will be expressed as mean ± SD, categorical data will be showed through absolute frequency (n) and relative frequency (%). The GLM test will be applied to analyse within the group. Values of p < 0,05 will be considered statistically significant. Standard statistical software (SPSS , version 19.0, Armonk, NY USA) will be used for data analysis. (AU)